Power determination method, device and nonvolatile storage medium for energy storage system

Abstract

The application discloses a power determination method and device of an energy storage system and a nonvolatile storage medium. The method comprises the following steps: acquiring a predicted load curve of a power system in a preset future period and a load value corresponding to a target moment in the power system, wherein the predicted load curve represents a change trend of the load value of the power system, and the target moment is located in the preset future period; dividing a working interval based on the predicted load curve, wherein the working interval comprises a first interval, a second interval and a third interval; determining an output power determination mode corresponding to each of the first interval, the second interval and the third interval; determining a target working interval in which the load value corresponding to the target moment is located; and determining the output power of the energy storage system based on a target output power determination mode corresponding to the target working interval. The application solves the technical problem that the current energy storage control strategy does not fully and cooperatively utilize the energy storage capacity in the peak regulation and frequency regulation scenes.

Description

Technical Field

[0001] This invention relates to the field of peak shaving and frequency regulation technology, and more specifically, to a method, apparatus, and non-volatile storage medium for determining the power of an energy storage system. Background Technology

[0002] Against the backdrop of global energy transition and sustainable development, electrochemical energy storage technology, due to its rapid response, high-precision control, and lack of geographical limitations, is becoming a key resource for resolving peak-shaving and frequency regulation conflicts in new energy power systems. The rapid development of new energy sectors such as wind power and photovoltaics has brought unprecedented challenges to the power grid. On the one hand, the high proportion of new energy integration has increased the grid's demand for peak-shaving and frequency regulation; on the other hand, due to the intermittency and uncertainty of new energy sources, traditional peak-shaving and frequency regulation resources have become relatively scarce, leading to an increasingly prominent supply-demand imbalance in these resources.

[0003] Existing energy storage control strategies are mostly limited to single peak-shaving or frequency regulation scenarios, employing constant power output strategies. While the control process is simple, in practical applications, this strategy fails to fully utilize the flexible adjustment capabilities of energy storage systems, resulting in low efficiency when participating in grid services, especially in intraday markets where load demand fluctuates frequently. Using energy storage only for frequency regulation while neglecting its potential in peak-shaving scenarios leads to a waste of energy storage resources. Furthermore, due to the limited capacity of energy storage batteries, using fixed control parameters, such as droop coefficients and inertia coefficients, may cause abnormal battery SOC (State of Charge) under long-term load disturbances, affecting battery life and even causing the energy storage device to cease providing service when the battery capacity reaches its upper or lower limits, thus impacting the stable operation of the grid.

[0004] There is currently no effective solution to the above problems. Summary of the Invention

[0005] This invention provides a method, apparatus, and non-volatile storage medium for determining the power of an energy storage system, in order to at least address the technical problem that current energy storage control strategies do not fully utilize energy storage capacity in peak shaving and frequency regulation scenarios.

[0006] According to one aspect of the present invention, a method for determining the power of an energy storage system is provided, comprising: acquiring a predicted load curve of a power system within a preset future time period and a load value corresponding to a target time in the power system, wherein the predicted load curve represents the changing trend of the load value of the power system, and the target time is located within the preset future time period; dividing a working interval based on the predicted load curve, wherein the working interval includes a first interval, a second interval, and a third interval, the first interval being a load value interval for peak shaving in peak regulation of the energy storage system, the second interval being a load value interval for frequency regulation in peak regulation of the energy storage system, and the third interval being a load value interval for valley filling in peak regulation of the energy storage system; determining the output power determination method corresponding to each of the first interval, the second interval, and the third interval; determining the target working interval in which the load value corresponding to the target time is located; and determining the output power of the energy storage system based on the target output power determination method corresponding to the target working interval.

[0007] Optionally, based on the predicted load curve, a working interval is divided, wherein the working interval includes a first interval, comprising: determining the available capacity of the energy storage system based on the state of charge of the energy storage system; setting an initial peak shaving line in the predicted load curve, wherein the initial peak shaving line represents the horizontal line of the maximum load value in the predicted load curve; moving the initial peak shaving line downward in the predicted load curve and calculating the peak shaving capacity corresponding to the moved position until the peak shaving capacity matches the available capacity, stopping the movement of the initial peak shaving line to obtain the target peak shaving line, wherein the peak shaving capacity represents the amount of electricity released by the energy storage system during the peak shaving period; and determining the interval in the predicted load curve where the load value is greater than the load value corresponding to the target peak shaving line as the first interval.

[0008] Optionally, when the target operating range is the first range, the output power of the energy storage system is determined based on the target output power determination method corresponding to the target operating range, including: determining the output power of the energy storage system based on the load value corresponding to the target time and the load value corresponding to the target peak shaving line.

[0009] Optionally, based on the predicted load curve, a working interval is divided, wherein the working interval includes a third interval, which includes: determining the available capacity of the energy storage system based on the state of charge of the energy storage system; setting an initial valley-filling line in the predicted load curve, wherein the initial valley-filling line represents the horizontal line of the minimum load value in the predicted load curve; moving the initial valley-filling line upward in the predicted load curve and calculating the valley-filling capacity corresponding to the moved position until the valley-filling capacity matches the available capacity, stopping the movement of the initial valley-filling line to obtain the target valley-filling line, wherein the valley-filling capacity represents the amount of electricity absorbed by the energy storage system during the valley-filling period; and determining the interval in the predicted load curve where the load value is less than the load value corresponding to the target valley-filling line as the third interval.

[0010] Optionally, when the target operating interval is the third interval, the output power of the energy storage system is determined based on the target output power determination method corresponding to the target operating interval, including: determining the output power of the energy storage system based on the load value corresponding to the target time and the load value corresponding to the target valley filling line.

[0011] Optionally, when the target operating range is the second range, the output power of the energy storage system is determined based on the target output power determination method corresponding to the target operating range, including: acquiring load disturbance data of the power system, wherein the load disturbance data represents abnormal data that causes unexpected changes in the load value; determining the frequency deviation of the power system based on the load disturbance data; determining whether the frequency deviation is within a preset range; and determining the output power of the energy storage system based on the inertial control coefficient and the droop control coefficient when the frequency deviation is outside the preset range, wherein the inertial control coefficient is a coefficient for frequency regulation that is preset based on the inertial response mechanism of the generator set in the power system, and the droop control coefficient is a coefficient for frequency regulation that is preset based on the droop characteristics of the generator set.

[0012] Optionally, if the frequency deviation is within a preset range, the energy storage system is determined not to output power.

[0013] According to another aspect of the present invention, a power determination device for an energy storage system is also provided, comprising: an acquisition module, configured to acquire a predicted load curve of a power system within a preset future time period and a load value corresponding to a target time in the power system, wherein the predicted load curve represents the changing trend of the load value of the power system, and the target time is located within the preset future time period; a division module, configured to divide working intervals based on the predicted load curve, wherein the working intervals include a first interval, a second interval, and a third interval, the first interval being a load value interval for peak shaving in peak regulation of the energy storage system, the second interval being a load value interval for frequency regulation in peak regulation of the energy storage system, and the third interval being a load value interval for valley filling in peak regulation of the energy storage system; a first determination module, configured to determine the output power determination method corresponding to each of the first interval, the second interval, and the third interval; a second determination module, configured to determine the target working interval where the load value corresponding to the target time is located; and a third determination module, configured to determine the output power of the energy storage system based on the target output power determination method corresponding to the target working interval.

[0014] According to another aspect of the present invention, a non-volatile storage medium is also provided, the non-volatile storage medium including a stored program, wherein, when the program is running, the device where the non-volatile storage medium is located is controlled to execute any of the above-described power determination methods for energy storage systems.

[0015] According to another aspect of the present invention, a computer device is also provided, the computer device including a processor, the processor being configured to run a program, wherein the program executes any of the above-described energy storage system power determination methods during runtime.

[0016] According to another aspect of the present invention, a computer program product is also provided, including a computer program that, when executed by a processor, implements the power determination method for any of the above-described energy storage systems.

[0017] In this embodiment of the invention, a power determination method for an energy storage system is adopted. This method acquires the predicted load curve of the power system within a preset future time period and the load value corresponding to the target time in the power system. The predicted load curve represents the changing trend of the power system's load value, and the target time is located within the preset future time period. Based on the predicted load curve, working intervals are divided, including a first interval, a second interval, and a third interval. The first interval is the load value interval used for peak shaving in peak shaving by the energy storage system; the second interval is the load value interval used for frequency regulation by the energy storage system; and the third interval is the load value interval used for valley filling in peak shaving by the energy storage system. The output power determination method corresponding to each of the first, second, and third intervals is determined. The target working interval where the load value corresponding to the target time is located is determined. Based on the target output power determination method corresponding to the target working interval, the output power of the energy storage system is determined. This achieves the goal of maximizing the benefits of the energy storage system in different scenarios of peak shaving and frequency regulation, thereby improving the operating efficiency of the power system and reducing its operating costs. Furthermore, it solves the technical problem that current energy storage control strategies do not fully utilize energy storage capacity in peak shaving and frequency regulation scenarios. Attached Figure Description

[0018] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:

[0019] Figure 1 A hardware block diagram of a computer terminal for implementing a power determination method for an energy storage system is shown.

[0020] Figure 2 This is a flowchart illustrating the power determination method for an energy storage system provided according to an embodiment of the present invention;

[0021] Figure 3 This is a schematic diagram of the peak-shaving principle of an energy storage system provided by an optional embodiment of the present invention;

[0022] Figure 4 This is a schematic diagram of the time division of the working area of ​​an energy storage system according to an optional embodiment of the present invention;

[0023] Figure 5 This is a schematic diagram of a collaborative working period based on load forecasting, provided by an optional embodiment of the present invention;

[0024] Figure 6 This is a schematic diagram of SOC partitioning under collaborative control according to an optional embodiment of the present invention;

[0025] Figure 7 This is a schematic diagram of the working area division for SoC-based peak-shaving and frequency-modulation collaborative control according to an optional embodiment of the present invention;

[0026] Figure 8 This is a schematic diagram of a peak-shaving and frequency-modulation coordinated control strategy provided by an optional embodiment of the present invention;

[0027] Figure 9 This is a schematic diagram of a cooperative power output strategy under different time scales provided by an optional embodiment of the present invention;

[0028] Figure 10 This is a flowchart of a constant power charging and discharging strategy control for an energy storage system participating in peak shaving scenarios, provided by an optional embodiment of the present invention.

[0029] Figure 11 This is a schematic diagram of a constant power control load curve provided by an optional embodiment of the present invention;

[0030] Figure 12 This is a flowchart of a variable power charging and discharging strategy control for energy storage participating in peak shaving scenarios, provided by an optional embodiment of the present invention.

[0031] Figure 13 This is a schematic diagram of an integrated frequency modulation strategy provided by an optional embodiment of the present invention;

[0032] Figure 14 This is an energy storage output curve provided by an optional embodiment of the present invention;

[0033] Figure 15 This is a SoC variation diagram of an energy storage power station provided according to an optional embodiment of the present invention;

[0034] Figure 16 This is a working area division diagram of an energy storage power station provided according to an optional embodiment of the present invention;

[0035] Figure 17 This is a comparison chart of the utilization rate of an energy storage power station provided by an optional embodiment of the present invention;

[0036] Figure 18 This is a flowchart of a multi-time-scale energy storage peak shaving and frequency modulation coordinated control method provided by an optional embodiment of the present invention;

[0037] Figure 19 This is a structural block diagram of a power determination device for an energy storage system provided according to an embodiment of the present invention. Detailed Implementation

[0038] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0039] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0040] According to an embodiment of the present invention, a method for determining the power of an energy storage system is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0041] The method embodiment provided in Embodiment 1 of this application can be executed on a mobile terminal, computer terminal, or similar computing device. Figure 1 A hardware block diagram of a computer terminal for implementing a power determination method for an energy storage system is shown. Figure 1As shown, the computer terminal 10 may include one or more processors (shown as 102a, 102b, ..., 102n in the figure) (the processor may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.) and a memory 104 for storing data. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of a BUS bus), a network interface, a power supply, and / or a camera. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the aforementioned electronic device. For example, computer terminal 10 may also include... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0042] It should be noted that the aforementioned one or more processors and / or other data processing circuits are generally referred to herein as "data processing circuits". These data processing circuits may be embodied, in whole or in part, in software, hardware, firmware, or any other combination thereof. Furthermore, the data processing circuits may be a single, independent processing module, or may be integrated, in whole or in part, into any other element within the computer terminal 10. As involved in the embodiments of this application, the data processing circuits serve as a processor control mechanism (e.g., selection of a variable resistor termination path connected to an interface).

[0043] The memory 104 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the power determination method of the energy storage system in this embodiment of the invention. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory 104, thereby implementing the power determination method of the energy storage system described above. The memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor, and these remote memories can be connected to the computer terminal 10 via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0044] The display can be, for example, a touchscreen liquid crystal display (LCD) that allows the user to interact with the user interface of the computer terminal 10.

[0045] Figure 2 This is a flowchart illustrating a power determination method for an energy storage system according to an embodiment of the present invention, as shown below. Figure 2 As shown, the method includes the following steps:

[0046] Step S201: Obtain the predicted load curve of the power system within a preset future time period and the load value corresponding to the target time in the power system, wherein the predicted load curve represents the changing trend of the load value of the power system, and the target time is located within the preset future time period.

[0047] In this step, predicting the load curve refers to forecasting the trend of power system load changes over a future period using mathematical models or machine learning techniques, based on historical data, weather forecasts, and socio-economic activity trends. This forecast is typically made at hourly, minutely, or even finer time intervals, covering a pre-defined future period, such as a 24-hour day. Peak shaving is a day-ahead planned dispatch, usually allocated to the Energy Storage System (ES) output plan by the power dispatching department based on historical load data and the load forecast for the next day. Frequency regulation, on the other hand, is a real-time intraday adjustment; when power supply and load are unbalanced, frequency fluctuations occur, generating frequency regulation demand. According to peak shaving market rules, the ES, as an independent third-party entity, must strictly adhere to the day-ahead plan for output; therefore, the output of the ES needs to be determined by the predicted load curve. The load value at the target time is a real-time data point compared to the predicted load curve. Obtaining the actual load data at the target time is to assess the power system's supply and demand status in real time, thereby determining the charging and discharging behavior of the energy storage system at that time.

[0048] Step S202: Based on the predicted load curve, divide the working intervals, which include a first interval, a second interval, and a third interval. The first interval is the load value interval used for peak shaving in the peak shaving of the energy storage system, the second interval is the load value interval used for frequency regulation in the energy storage system, and the third interval is the load value interval used for valley filling in the peak shaving of the energy storage system.

[0049] In this step, the division of the working period combines the predicted load curve with the operating characteristics of the energy storage system to define the specific time periods during which the ES participates in peak shaving or frequency regulation under different load levels. Based on the predicted load curve, the load value in the future period can be divided into three main intervals: the first interval (peak shaving zone), the second interval (frequency regulation zone), and the third interval (valley filling zone). Figure 3 This is a schematic diagram of the peak-shaving principle of an energy storage system provided by an optional embodiment of the present invention, such as... Figure 3 As shown, when an ES (Electronic Storage System) is only applied to a single peak-shaving scenario, it only performs charging and discharging operations during peak load periods or off-peak load periods, remaining idle during other times, which greatly reduces the utilization rate of the ES. Therefore, the ES can be used in an "idle-time reuse" manner (i.e., within the same time period, only one working mode, either peak shaving or frequency regulation, is used). Figure 4This is a schematic diagram of the time division of the working area of ​​an energy storage system according to an optional embodiment of the present invention, such as... Figure 4 As shown, during the non-peak shaving phase of the ES, idle ES can be used to improve the grid frequency, thereby increasing the utilization rate. Thus, the ES can be divided into multiple working areas. Figure 5 This is a schematic diagram of a collaborative working period based on load forecasting according to an optional embodiment of the present invention, such as... Figure 5 As shown, peak shaving and valley filling lines are obtained based on the day-ahead forecast load curve. This leads to the division of the outer peak-shaving zone into the inner frequency regulation zone. The outer peak-shaving zone is further divided into valley filling and peak shaving zones. The period when the outer peak-shaving zone is projected onto the x-axis is the peak-shaving period.

[0050] When dividing the working area, the SoC (State of Charge) of the energy storage system also needs to be considered. Due to the capacity limitation of ES, when ES is used for peak shaving and frequency regulation coordinated control, the SoC needs to be planned reasonably. Figure 6 This is a schematic diagram of a SoC partitioning under collaborative control according to an optional embodiment of the present invention, such as... Figure 6 As shown, when the ES operates in the valley filling region, it is in a charging state, and its SoC rises from 0.1 to 0.9. When the ES operates in the peak clipping region, it is in a discharging state, and the SoC drops from 0.9 to 0.1. At this time, when the ES switches to the frequency modulation region, the initial SoC value may be either 0.1 or 0.9. However, frequency deviation has a two-way possibility. Therefore, when the SoC is 0.1, the frequency drop problem cannot be improved by discharging, and when the SoC is 0.9, the frequency rise problem cannot be improved by charging. Figure 7 This is a schematic diagram of the working region division for SoC-based peak-shaving and frequency-modulation collaborative control according to an optional embodiment of the present invention, as shown below. Figure 7 As shown, in this embodiment, the SoC peak-shaving operating range is set to 0.15~0.85, with 0.05 reserved for frequency modulation.

[0051] Step S203: Determine the output power determination method for the first interval, the second interval, and the third interval.

[0052] In this step, the predicted load curve can be divided into three working intervals to determine the period when the ES participates in peak shaving and frequency regulation the next day. Figure 8 This is a schematic diagram of a peak-shaving and frequency-modulation coordinated control strategy provided by an optional embodiment of the present invention, as shown below. Figure 8As shown, this process can include five steps: importing the predicted load curve and real-time load disturbance data; determining the peak shaving line and valley filling line based on the predicted load curve using a variable power strategy, and determining the frequency deviation based on the real-time load disturbance data; when the predicted load curve is outside the peak shaving line and valley filling line, it indicates that the ES is in the outer peak shaving zone, and the ES output power (output) is determined according to the variable power peak shaving control strategy; if the ES is not in the outer peak shaving zone, it indicates that it is in the inner frequency regulation zone. It then determines whether the frequency deviation exceeds the dead zone; if it does, the ES output power is determined according to the integrated frequency regulation control strategy; otherwise, the ES output power is 0; finally, the ES's final output power is output.

[0053] Step S204: Determine the target working interval where the load value corresponding to the target time is located.

[0054] In this step, the target operating range corresponding to the load value at the target time is determined. This can be achieved by comparing the predicted load value at that time with the preset peak shaving line and valley filling line, combined with the system frequency deviation. If the load value is higher than the peak shaving line, the ES enters the peak shaving zone and adopts a discharge strategy to reduce peak load; if the load value is lower than the valley filling line, the ES enters the valley filling zone and implements a charging strategy to fill the valley. When the load value is between the peak shaving line and the valley filling line, it is necessary to further determine whether the frequency deviation exceeds the dead zone. If it does, the ES enters the frequency regulation zone and uses a variable power charging and discharging control strategy to participate in frequency regulation based on frequency changes, thereby achieving precise decision-making for coordinated peak shaving and frequency regulation control.

[0055] Step S205: Determine the output power of the energy storage system based on the target output power determination method corresponding to the target working range.

[0056] In this step, Figure 9 This is a schematic diagram of a cooperative output strategy under different time scales provided by an optional embodiment of the present invention, such as... Figure 9 As shown, based on load forecasting... ES plan valley filling output power Planned peak output power The ES frequency modulation output power caused by real-time load disturbance is The load disturbance sampling interval is 1 minute, so t=1440 on a one-day timescale. From this, we can obtain the ES output power situation for each working area: In the valley filling period, the load is at its lowest point, power demand is low, the supply pressure is relatively small, and the ES is in a charging state, storing excess energy. In the frequency regulation zone, there is no peak regulation requirement during this period. If the frequency deviation exceeds the set upper limit, the ES will be in charging mode. If the frequency deviation is less than the set lower limit, ES is in a discharge state. If the frequency deviation is within the dead zone, the ES output power is 0. During peak shaving periods, the load is at its peak, electricity demand is high, and the ES (Electric Power Supply) is in a discharging state. .

[0057] Through the above steps, the goal of maximizing the benefits of energy storage systems in different scenarios of peak shaving and frequency regulation is achieved, thereby improving the operating efficiency of the power system and reducing its operating costs. This also solves the technical problem that current energy storage control strategies do not fully utilize energy storage capacity in peak shaving and frequency regulation scenarios.

[0058] As an optional embodiment, based on the predicted load curve, a working interval is divided, wherein the working interval includes a first interval, comprising: determining the available capacity of the energy storage system based on the state of charge of the energy storage system; setting an initial peak shaving line in the predicted load curve, wherein the initial peak shaving line represents the horizontal line of the maximum load value in the predicted load curve; moving the initial peak shaving line downward in the predicted load curve and calculating the peak shaving capacity corresponding to the moved position until the peak shaving capacity matches the available capacity, stopping the movement of the initial peak shaving line to obtain the target peak shaving line, wherein the peak shaving capacity represents the amount of electricity released by the energy storage system during the peak shaving period; and determining the interval in the predicted load curve where the load value is greater than the load value corresponding to the target peak shaving line as the first interval.

[0059] Optionally, in traditional constant power peak-shaving charging and discharging strategies, local reverse peak phenomena may occur. A constant power peak-shaving charging and discharging strategy refers to a strategy where the output power of the energy storage remains constant when the system has peak-shaving requirements. Figure 10 This is a flowchart of a constant power charging and discharging strategy control for an energy storage system participating in peak shaving scenarios, provided by an optional embodiment of the present invention. Figure 10 As shown, the constant power charge / discharge strategy is simple to control and easy to operate. Its control steps are as follows:

[0060] S1: Import the original load To obtain the peak load Valley value .

[0061] S2: Set the rated power of energy storage Rated capacity With energy storage rate Since the output of energy storage is a constant value Therefore, the charge and discharge times of the energy storage can be determined as follows:

[0062]

[0063] S3: Based on the original load, take a horizontal line at the peak of the load. and in small numerical steps. Move down, horizontal line Intersecting the original load curve, calculate the sum of the time intervals during which the horizontal line intersects the load curve. If it equals... This indicates that the discharge period has been determined. If the sum of the time periods is less than [a certain value], then [the discharge period is determined]. Iteration coefficients , horizontal line Continue moving downwards until the discharge period and time coincide with... equal.

[0064] Determining the charging period is similar to determining the discharging period; a horizontal line is taken at the load trough. With a set small numerical step size Move upwards, horizontal line If the horizontal line intersects the original load curve, and the sum of the time intervals between the intersections is... Then the charging period is determined. If the sum of the time periods is less than 1 / 3, the charging period is determined. Iteration coefficients , horizontal line Move upwards until the charging period and time are consistent. equal.

[0065] In traditional constant power charging and discharging strategies, local reverse peak phenomena may occur due to the mismatch between ES output and actual peak-shaving demand. Figure 11 This is a schematic diagram of a load curve for constant power control according to an optional embodiment of the present invention, such as... Figure 11 As shown, the load curve after adjustment using the constant power control strategy exhibits two distinct dips and bulges. This is because the constant power strategy cannot dynamically adjust the energy storage output based on the original load value. The constant power control strategy can cause localized spikes in the load curve.

[0066] Constant power charging and discharging strategies are simple to control and easy to operate, but they can lead to a mismatch between energy storage output and actual load peak-shaving demand, resulting in localized reverse peaks. Therefore, this paper considers leveraging the flexible and precise control capabilities of energy storage output to implement variable power charging and discharging control. This allows the energy storage to dynamically adjust its charging and discharging power according to the load peak-shaving demand, thus smoothing the load curve. The variable power charging and discharging control strategy operates on a daily timescale, based on the principle of energy balance, ensuring that the capacity absorbed during valley filling equals the capacity released during peak shaving, but does not exceed the rated capacity of the energy storage.

[0067] Figure 12 This is a flowchart of a variable power charging and discharging strategy control for energy storage participating in peak shaving scenarios, provided by an optional embodiment of the present invention. Figure 12 As shown, the specific control steps are as follows: Import the predicted load curve. To obtain the peak load Valley value Set the rated power of the energy storage. With rated capacity The available capacity of the energy storage power station is obtained based on the limitations of the energy storage SoC. Take the initial clipping line. and in small numerical steps. Move downwards, trim the peak line The intersection with the load curve is and Therefore, the amount of electricity released during peak shaving (peak shaving capacity) can be determined as follows:

[0068]

[0069] When peak reduction capacity With available capacity When they are equal, the target peak reduction line is determined. If peak capacity is reduced Less than available capacity Iteration coefficients The initial peak clipping line Continue moving down until... and If they are equal, the target peak reduction line is obtained, and the first interval is finally determined as the interval in the predicted load curve where the load value is greater than the load value corresponding to the target peak reduction line.

[0070] As an optional embodiment, when the target operating range is the first range, the output power of the energy storage system is determined based on the target output power determination method corresponding to the target operating range, including: determining the output power of the energy storage system based on the load value corresponding to the target time and the load value corresponding to the target peak shaving line.

[0071] Optionally, in the first interval, i.e. the peak shaving operating region, the formula for calculating the output power of the energy storage system is as follows:

[0072]

[0073] in, The output power of the energy storage system, The load value corresponding to the target time. The load value corresponding to the target peak shaving line.

[0074] As an optional embodiment, based on the predicted load curve, the working interval is divided, wherein the working interval includes a third interval, including: determining the available capacity of the energy storage system based on the state of charge of the energy storage system; setting an initial valley-filling line in the predicted load curve, wherein the initial valley-filling line represents the horizontal line of the minimum load value in the predicted load curve; moving the initial valley-filling line upward in the predicted load curve and calculating the valley-filling capacity corresponding to the moved position until the valley-filling capacity matches the available capacity, stopping the movement of the initial valley-filling line to obtain the target valley-filling line, wherein the valley-filling capacity represents the amount of electricity absorbed by the energy storage system during the valley-filling period; and determining the interval in the predicted load curve where the load value is less than the load value corresponding to the target valley-filling line as the third interval.

[0075] Alternatively, similar to the method described above for determining the peak-shaving line and the first interval, an initial valley-filling line can be taken. With a set small numerical step size Move upwards to fill the valley line. The intersection with the load curve is and The amount of electricity absorbed by the valley fill (valley fill capacity) is as follows:

[0076]

[0077] When filling capacity With available capacity When they are equal, the target valley line is filled. This also determines that, if Less than Then continue iterating upwards along the valley filling line until... and If they are equal, the target valley filling line is obtained, and the interval in the predicted load curve where the load value is less than the load value corresponding to the target valley filling line is finally determined as the third interval.

[0078] As an optional embodiment, when the target operating range is the third range, the output power of the energy storage system is determined based on the target output power determination method corresponding to the target operating range, including: determining the output power of the energy storage system based on the load value corresponding to the target time and the load value corresponding to the target valley filling line.

[0079] Optionally, in the third interval, i.e. the valley filling working area, the formula for calculating the output power of the energy storage system is as follows:

[0080]

[0081] in, The output power of the energy storage system, The load value corresponding to the target time. The load value corresponding to the target valley line.

[0082] As an optional embodiment, when the target operating range is the second range, the output power of the energy storage system is determined based on the target output power determination method corresponding to the target operating range. This includes: acquiring load disturbance data of the power system, wherein the load disturbance data represents abnormal data that causes unexpected changes in the load value; determining the frequency deviation of the power system based on the load disturbance data; determining whether the frequency deviation is within a preset range; and determining the output power of the energy storage system based on the inertial control coefficient and the droop control coefficient when the frequency deviation is outside the preset range. The inertial control coefficient is a coefficient pre-set for frequency regulation based on the inertial response mechanism of the generator set in the power system, and the droop control coefficient is a coefficient pre-set for frequency regulation based on the droop characteristics of the generator set.

[0083] Optionally, for frequency regulation, the conventional control method is droop control. The droop control strategy controls the energy storage to participate in primary frequency regulation by simulating the droop characteristics of the generator set. Its response calculation formula is:

[0084]

[0085] in, The increased active power generated for energy storage frequency regulation. The droop coefficient is... This represents the change in frequency.

[0086] Traditional droop control uses a fixed droop coefficient, which is effective for frequency regulation when the system experiences short-term load disturbances or when the energy storage battery is fully charged. However, under long-term load disturbances, the energy storage capacity quickly reaches its upper and lower limits, affecting the battery's service life and potentially causing a secondary frequency drop when the energy storage is decommissioned. Dynamically adjusting the droop coefficient (charge / discharge coefficient) based on the battery's state of charge (SBC) can effectively maintain the SBC, preventing shortened lifespan due to overcharging and over-discharging, and reducing the impact on the system when the energy storage exceeds its limits.

[0087] The virtual inertial control strategy simulates the inertial response process of a synchronous generator. Similar to the inertial response process of a synchronous generator, since the rotor frequency and grid frequency remain consistent during stable operation, when the system frequency changes abruptly, the rotor speed of the synchronous generator, being relatively large, does not change rapidly. During the process of reaching a new equilibrium with the grid, the generator releases or absorbs kinetic energy through speed changes to prevent the grid frequency from changing. Virtual inertial response formula:

[0088]

[0089] in, The inertia coefficient, This system is designed for real-time monitoring of the frequency change rate of a virtual inertia control system. By adding active power proportional to the system's frequency change rate to the energy storage output power, it provides temporary frequency support during sudden frequency changes, enabling the wind turbine to have inertial response frequency regulation capabilities. This increases the overall equivalent inertia of the system and improves the minimum frequency drop.

[0090] Virtual droop control is effective in improving the steady-state frequency deviation of the system, but it cannot solve the problem of excessively rapid initial frequency deviation change rate. Virtual inertial control, on the other hand, can effectively improve the frequency deviation change rate. Therefore, based on the advantages and disadvantages of both control methods, a comprehensive frequency modulation control strategy is proposed. Figure 13 This is a schematic diagram of an integrated frequency modulation strategy provided by an optional embodiment of the present invention, such as... Figure 13 As shown. When the two control strategies are combined, the ES output is as follows:

[0091]

[0092] in, and These are the inertia and droop control coefficients, respectively. Under the integrated control strategy, the system frequency is as follows:

[0093]

[0094] in, This represents the frequency regulation coefficient for a traditional generator unit. The rate of change of the initial frequency deviation and the steady-state frequency deviation can be obtained using the Laplace transform, as shown below:

[0095]

[0096] As the equation shows, by combining droop control and inertial control, the steady-state frequency deviation can be reduced, and the rate of change of frequency deviation can be suppressed. When the frequency deviation is in the worsening stage, a virtual inertial control strategy is used. When the frequency deviation is in the recovery stage, virtual droop control is used.

[0097] As an optional embodiment, if the frequency deviation is within a preset range, it is determined that the energy storage system does not output power.

[0098] Optionally, frequency deviation refers to the difference between the actual frequency and the rated frequency of the power system, reflecting the imbalance between power supply and demand. The preset range is often referred to as the "frequency dead zone," within which fluctuations in the system frequency are considered acceptable natural fluctuations, requiring no intervention from energy storage systems for regulation, and therefore no power is output.

[0099] As an optional embodiment, a process for verifying the effectiveness of the methods in the above embodiments using a simulation model is also provided. Taking a regional energy storage power station as an example, a model is built in the Matlab / Simulink environment. Its installed capacity is 60MW / 240MWh. The predicted load is selected from typical daily load data, with a sampling interval of 15 minutes, resulting in 96 load samples over a 24-hour time scale. The rated capacity of the generating units is set to 100MW, and the rated frequency to 50Hz. Random load disturbance data is set, with a sampling time of 1 second and a time scale of 24 hours, resulting in a total of 86,400 load disturbance data points.

[0100] Figure 14 This is an energy storage output curve provided by an optional embodiment of the present invention. Figure 15 This is a SoC variation diagram of an energy storage power station provided according to an optional embodiment of the present invention. Figure 16 This is a working area division diagram of an energy storage power station according to an optional embodiment of the present invention. As shown in the figure, the control strategy used in this embodiment and the traditional control method are simulated on the built model. Simulations of related disturbance conditions for peak shaving and frequency regulation are performed under different control methods. The control strategy proposed in this optional embodiment can utilize idle periods for frequency regulation to improve the utilization rate of energy storage. The peak shaving period includes valley filling and peak reduction areas, totaling 7 hours and 15 minutes; the frequency regulation period totals 16 hours and 45 minutes. The energy storage utilization rate is defined as the ratio of the number of energy storage outputs to the total number of statistical periods throughout the day. Figure 17 This is a comparison chart of the utilization rate of an energy storage power station according to an optional embodiment of the present invention, such as... Figure 17 As shown, the energy storage system outputs the fewest times in the single peak-shaving scenario, while it outputs the most times in the coordinated scenario, at 60,264 times, an increase of 30,310 times compared to the single peak-shaving scenario. The energy storage utilization rate in the coordinated scenario is 35.08% and 16.42% higher than in the single peak-shaving and single frequency-regulating scenarios, respectively. This demonstrates that the peak-shaving and frequency-regulating coordinated scenario has a significant effect on improving energy storage utilization.

[0101] As an optional embodiment, a multi-timescale energy storage peak shaving and frequency regulation coordinated control method is also provided. Figure 18 This is a flowchart of a multi-time-scale energy storage peak-shaving and frequency regulation coordinated control method provided by an optional embodiment of the present invention, such as... Figure 18 As shown, the concept of "idle time reuse" for peak shaving and frequency regulation is realized. By rationally dividing the working area, combining the predicted load and real-time frequency deviation, and taking into account the SOC status, the energy storage system is optimized and scheduled, ensuring efficient, flexible and long-term stable operation when participating in peak shaving and frequency regulation.

[0102] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that the present invention is not limited to the described order of actions, because according to the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to the present invention.

[0103] Through the above description of the embodiments, those skilled in the art can clearly understand that the power determination method of the energy storage system according to the above embodiments can be implemented by means of software plus necessary general-purpose hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0104] According to embodiments of the present invention, an apparatus for implementing the power determination method of the above-described energy storage system is also provided. Figure 19 This is a structural block diagram of a power determination device for an energy storage system provided according to an embodiment of the present invention, such as... Figure 19 As shown, the device includes: an acquisition module 1901, a division module 1902, a first determination module 1903, a second determination module 1904, and a third determination module 1905. The device will be described below.

[0105] The acquisition module 1901 is used to acquire the predicted load curve of the power system within a preset future time period and the load value corresponding to the target time in the power system. The predicted load curve represents the changing trend of the load value of the power system, and the target time is located within the preset future time period.

[0106] The division module 1902, connected to the acquisition module 1901, is used to divide the working interval based on the predicted load curve. The working interval includes a first interval, a second interval, and a third interval. The first interval is the load value interval used for peak shaving in the peak shaving of the energy storage system, the second interval is the load value interval used for frequency regulation in the energy storage system, and the third interval is the load value interval used for valley filling in the peak shaving of the energy storage system.

[0107] The first determining module 1903, connected to the dividing module 1902, is used to determine the output power determination method for the first interval, the second interval, and the third interval.

[0108] The second determining module 1904, connected to the first determining module 1903, is used to determine the target working range where the load value corresponding to the target time is located.

[0109] The third determining module 1905, connected to the second determining module 1904, is used to determine the output power of the energy storage system based on the target output power determination method corresponding to the target working range.

[0110] It should be noted that the acquisition module 1901, division module 1902, first determination module 1903, second determination module 1904, and third determination module 1905 mentioned above correspond to steps S201 to S205 in the embodiments. Multiple modules and their corresponding steps implement the same instances and application scenarios, but are not limited to the content disclosed in the above embodiments. It should also be noted that the above modules, as part of the device, can run on the computer terminal 10 provided in the embodiments.

[0111] Embodiments of the present invention may provide a computer device. Optionally, in this embodiment, the computer device may be located in at least one of a plurality of network devices in a computer network. The computer device includes a memory and a processor.

[0112] The memory can be used to store software programs and modules, such as the program instructions / modules corresponding to the power determination method and device for the energy storage system in this embodiment of the invention. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, thereby realizing the power determination method for the energy storage system described above. The memory may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include memory remotely located relative to the processor, and these remote memories can be connected to a computer terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0113] The processor can access information and application programs stored in memory via a transmission device to perform the following steps: acquiring the predicted load curve of the power system within a preset future time period and the load value corresponding to the target time in the power system, wherein the predicted load curve represents the changing trend of the power system load value, and the target time is located within the preset future time period; dividing the working interval based on the predicted load curve, wherein the working interval includes a first interval, a second interval, and a third interval, wherein the first interval is the load value interval used for peak shaving in the peak regulation of the energy storage system, the second interval is the load value interval used for frequency regulation in the energy storage system, and the third interval is the load value interval used for valley filling in the peak regulation of the energy storage system; determining the output power determination method corresponding to each of the first, second, and third intervals; determining the target working interval where the load value corresponding to the target time is located; and determining the output power of the energy storage system based on the target output power determination method corresponding to the target working interval.

[0114] Optionally, the processor may also execute program code for the following steps: dividing the working interval based on the predicted load curve, wherein the working interval includes a first interval, including: determining the available capacity of the energy storage system based on the state of charge of the energy storage system; setting an initial peak shaving line in the predicted load curve, wherein the initial peak shaving line represents the horizontal line of the maximum load value in the predicted load curve; moving the initial peak shaving line downward in the predicted load curve and calculating the peak shaving capacity corresponding to the moved position until the peak shaving capacity matches the available capacity, stopping the movement of the initial peak shaving line to obtain the target peak shaving line, wherein the peak shaving capacity represents the amount of electricity released by the energy storage system during the peak shaving period; and determining the interval in the predicted load curve where the load value is greater than the load value corresponding to the target peak shaving line as the first interval.

[0115] Optionally, the processor may also execute program code for the following steps: when the target operating range is the first range, determine the output power of the energy storage system based on the target output power determination method corresponding to the target operating range, including: determining the output power of the energy storage system based on the load value corresponding to the target time and the load value corresponding to the target peak shaving line.

[0116] Optionally, the processor may also execute program code for the following steps: dividing the working interval based on the predicted load curve, wherein the working interval includes a third interval, including: determining the available capacity of the energy storage system based on the state of charge of the energy storage system; setting an initial valley filling line in the predicted load curve, wherein the initial valley filling line represents the horizontal line of the minimum load value in the predicted load curve; moving the initial valley filling line upward in the predicted load curve and calculating the valley filling capacity corresponding to the moved position until the valley filling capacity matches the available capacity, stopping the movement of the initial valley filling line to obtain the target valley filling line, wherein the valley filling capacity represents the amount of electricity absorbed by the energy storage system during the valley filling period; and determining the interval in the predicted load curve where the load value is less than the load value corresponding to the target valley filling line as the third interval.

[0117] Optionally, the processor may also execute program code for the following steps: when the target working interval is the third interval, determine the output power of the energy storage system based on the target output power determination method corresponding to the target working interval, including: determining the output power of the energy storage system based on the load value corresponding to the target time and the load value corresponding to the target valley filling line.

[0118] Optionally, the processor may also execute program code for the following steps: when the target operating range is the second range, determine the output power of the energy storage system based on the target output power determination method corresponding to the target operating range, including: acquiring load disturbance data of the power system, wherein the load disturbance data represents abnormal data that causes unexpected changes in the load value; determining the frequency deviation of the power system based on the load disturbance data; determining whether the frequency deviation is within a preset range; and, if the frequency deviation is outside the preset range, determining the output power of the energy storage system based on the inertial control coefficient and the droop control coefficient, wherein the inertial control coefficient is a coefficient pre-set for frequency regulation based on the inertial response mechanism of the generator set in the power system, and the droop control coefficient is a coefficient pre-set for frequency regulation based on the droop characteristics of the generator set.

[0119] Optionally, the processor may also execute program code that determines that the energy storage system does not output power when the frequency deviation is within a preset range.

[0120] This invention provides a method for determining the power of an energy storage system. By acquiring the predicted load curve of the power system within a preset future time period and the load value corresponding to a target time in the power system, where the predicted load curve represents the changing trend of the power system load value and the target time is located within the preset future time period; based on the predicted load curve, operating intervals are divided, including a first interval, a second interval, and a third interval. The first interval is the load value interval used for peak shaving in peak regulation of the energy storage system, the second interval is the load value interval used for frequency regulation of the energy storage system, and the third interval is the load value interval used for valley filling in peak regulation of the energy storage system; the output power determination method corresponding to each of the first, second, and third intervals is determined; the target operating interval where the load value corresponding to the target time is located is determined; based on the target output power determination method corresponding to the target operating interval, the output power of the energy storage system is determined. This achieves the goal of maximizing the benefits of the energy storage system in different scenarios of peak regulation and frequency regulation, thereby realizing the technical effects of improving the operating efficiency of the power system and reducing the operating cost of the power system, and thus solving the technical problem that current energy storage control strategies do not fully utilize energy storage capacity in peak regulation and frequency regulation scenarios.

[0121] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing the hardware related to the terminal device. The program can be stored in a non-volatile storage medium, which may include: flash drive, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc.

[0122] Embodiments of the present invention also provide a non-volatile storage medium. Optionally, in this embodiment, the aforementioned non-volatile storage medium can be used to store the program code executed by the power determination method of the energy storage system provided in the above embodiments.

[0123] Optionally, in this embodiment, the non-volatile storage medium may be located in any computer terminal in a group of computer terminals in a computer network, or in any mobile terminal in a group of mobile terminals.

[0124] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: obtaining the predicted load curve of the power system within a preset future time period and the load value corresponding to the target time in the power system, wherein the predicted load curve represents the changing trend of the load value of the power system, and the target time is located within the preset future time period; dividing the working interval based on the predicted load curve, wherein the working interval includes a first interval, a second interval, and a third interval, the first interval being the load value interval used for peak shaving in the peak regulation of the energy storage system, the second interval being the load value interval used for frequency regulation in the energy storage system, and the third interval being the load value interval used for valley filling in the peak regulation of the energy storage system; determining the output power determination method corresponding to the first interval, the second interval, and the third interval respectively; determining the target working interval where the load value corresponding to the target time is located; and determining the output power of the energy storage system based on the target output power determination method corresponding to the target working interval.

[0125] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: dividing the working interval based on the predicted load curve, wherein the working interval includes a first interval, including: determining the available capacity of the energy storage system based on the state of charge of the energy storage system; setting an initial peak-shaving line in the predicted load curve, wherein the initial peak-shaving line represents the horizontal line of the maximum load value in the predicted load curve; moving the initial peak-shaving line downward in the predicted load curve and calculating the peak-shaving capacity corresponding to the moved position until the peak-shaving capacity matches the available capacity, stopping the movement of the initial peak-shaving line to obtain the target peak-shaving line, wherein the peak-shaving capacity represents the amount of electricity released by the energy storage system during the peak-shaving period; and determining the interval in the predicted load curve where the load value is greater than the load value corresponding to the target peak-shaving line as the first interval.

[0126] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: when the target working interval is the first interval, the output power of the energy storage system is determined based on the target output power determination method corresponding to the target working interval, including: determining the output power of the energy storage system based on the load value corresponding to the target time and the load value corresponding to the target peak shaving line.

[0127] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: dividing the working interval based on the predicted load curve, wherein the working interval includes a third interval, including: determining the available capacity of the energy storage system based on the state of charge of the energy storage system; setting an initial valley-filling line in the predicted load curve, wherein the initial valley-filling line represents the horizontal line of the minimum load value in the predicted load curve; moving the initial valley-filling line upward in the predicted load curve and calculating the valley-filling capacity corresponding to the moved position until the valley-filling capacity matches the available capacity, stopping the movement of the initial valley-filling line to obtain the target valley-filling line, wherein the valley-filling capacity represents the amount of electricity absorbed by the energy storage system during the valley-filling period; and determining the interval in the predicted load curve where the load value is less than the load value corresponding to the target valley-filling line as the third interval.

[0128] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: when the target working interval is the third interval, the output power of the energy storage system is determined based on the target output power determination method corresponding to the target working interval, including: determining the output power of the energy storage system based on the load value corresponding to the target time and the load value corresponding to the target valley filling line.

[0129] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: when the target operating range is the second range, determining the output power of the energy storage system based on the target output power determination method corresponding to the target operating range, including: acquiring load disturbance data of the power system, wherein the load disturbance data characterizes abnormal data that causes unexpected changes in the load value; determining the frequency deviation of the power system based on the load disturbance data; determining whether the frequency deviation is within a preset range; and determining the output power of the energy storage system based on the inertial control coefficient and the droop control coefficient when the frequency deviation is outside the preset range, wherein the inertial control coefficient is a coefficient for frequency regulation work preset according to the inertial response mechanism of the generator set in the power system, and the droop control coefficient is a coefficient for frequency regulation work preset according to the droop characteristics of the generator set.

[0130] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: determining that the energy storage system does not output power when the frequency deviation is within a preset range.

[0131] Embodiments of the present invention also provide a computer program product, including a computer program. Optionally, in this embodiment, when the computer program is executed by a processor, it can: acquire the predicted load curve of the power system within a preset future time period and the load value corresponding to the target time in the power system, wherein the predicted load curve represents the changing trend of the load value of the power system, and the target time is located within the preset future time period; based on the predicted load curve, divide the working intervals, wherein the working intervals include a first interval, a second interval, and a third interval, the first interval being the load value interval used for peak shaving in the peak regulation of the energy storage system, the second interval being the load value interval used for frequency regulation in the energy storage system, and the third interval being the load value interval used for valley filling in the peak regulation of the energy storage system; determine the output power determination method corresponding to each of the first interval, the second interval, and the third interval; determine the target working interval where the load value corresponding to the target time is located; and determine the output power of the energy storage system based on the target output power determination method corresponding to the target working interval.

[0132] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0133] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0134] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0135] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0136] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0137] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a non-volatile storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0138] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for determining the power of an energy storage system, characterized in that, include: The predicted load curve of the power system within a preset future time period and the load value of the power system at a target time are obtained, wherein the predicted load curve represents the changing trend of the load value of the power system, and the target time is located within the preset future time period; Based on the predicted load curve, the working intervals are divided, wherein the working intervals include a first interval, a second interval, and a third interval. The first interval is the load value interval used for peak shaving in the peak shaving of the energy storage system, the second interval is the load value interval used for frequency regulation of the energy storage system, and the third interval is the load value interval used for valley filling in the peak shaving of the energy storage system. Determine the output power determination method corresponding to the first interval, the second interval, and the third interval respectively; Determine the target operating range in which the load value corresponding to the target time is located; The output power of the energy storage system is determined based on the target output power determination method corresponding to the target operating range.

2. The method according to claim 1, characterized in that, The process involves dividing the work interval based on the predicted load curve, wherein the work interval includes a first interval, comprising: The available capacity of the energy storage system is determined based on its state of charge. An initial peak-shaving line is set in the predicted load curve, wherein the initial peak-shaving line represents the horizontal line of the maximum load value in the predicted load curve; The initial peak shaving line is moved downward in the predicted load curve, and the peak shaving capacity corresponding to the moved position is calculated until the peak shaving capacity matches the available capacity. The movement of the initial peak shaving line is then stopped to obtain the target peak shaving line. The peak shaving capacity represents the amount of electricity released by the energy storage system during the peak shaving period. The interval in the predicted load curve where the load value is greater than the load value corresponding to the target peak reduction line is defined as the first interval.

3. The method according to claim 2, characterized in that, When the target operating range is the first range, determining the output power of the energy storage system based on the target output power determination method corresponding to the target operating range includes: The output power of the energy storage system is determined based on the load value corresponding to the target time and the load value corresponding to the target peak shaving line.

4. The method according to claim 1, characterized in that, The process involves dividing the work intervals based on the predicted load curve, wherein the work intervals include a third interval, which includes: The available capacity of the energy storage system is determined based on its state of charge. An initial valley filling line is set in the predicted load curve, wherein the initial valley filling line represents the horizontal line of the minimum load value in the predicted load curve; The initial valley filling line is moved upward in the predicted load curve, and the valley filling capacity corresponding to the moved position is calculated until the valley filling capacity matches the available capacity. The movement of the initial valley filling line is stopped to obtain the target valley filling line. The valley filling capacity represents the amount of electricity absorbed by the energy storage system during the valley filling period. The interval in the predicted load curve where the load value is less than the load value corresponding to the target valley line is defined as the third interval.

5. The method according to claim 4, characterized in that, When the target operating range is the third range, determining the output power of the energy storage system based on the target output power determination method corresponding to the target operating range includes: The output power of the energy storage system is determined based on the load value corresponding to the target time and the load value corresponding to the target valley filling line.

6. The method according to claim 1, characterized in that, When the target operating range is the second range, determining the output power of the energy storage system based on the target output power determination method corresponding to the target operating range includes: Obtain load disturbance data of the power system, wherein the load disturbance data characterizes abnormal data that causes unexpected changes in load values; Based on the load disturbance data, the frequency deviation of the power system is determined; Determine whether the frequency deviation is within a preset range; When the frequency deviation is outside the preset range, the output power of the energy storage system is determined based on the inertial control coefficient and the droop control coefficient. The inertial control coefficient is a coefficient for frequency regulation that is preset according to the inertial response mechanism of the generator set in the power system, and the droop control coefficient is a coefficient for frequency regulation that is preset according to the droop characteristics of the generator set.

7. The method according to claim 6, characterized in that, Also includes: If the frequency deviation is within the preset range, the energy storage system is determined not to output power.

8. A power determination device for an energy storage system, characterized in that, include: The acquisition module is used to acquire the predicted load curve of the power system within a preset future time period and the load value of the power system at a target time, wherein the predicted load curve represents the changing trend of the load value of the power system, and the target time is located within the preset future time period; The division module is used to divide the working interval based on the predicted load curve. The working interval includes a first interval, a second interval, and a third interval. The first interval is the load value interval used for peak shaving in the peak shaving of the energy storage system. The second interval is the load value interval used for frequency regulation in the energy storage system. The third interval is the load value interval used for valley filling in the peak shaving of the energy storage system. The first determining module is used to determine the output power determination method for each of the first interval, the second interval, and the third interval; The second determining module is used to determine the target working interval where the load value corresponding to the target time is located; The third determining module is used to determine the output power of the energy storage system based on the target output power determination method corresponding to the target working range.

9. A non-volatile storage medium, characterized in that, The non-volatile storage medium includes a stored program, wherein, when the program is executed, it controls the device containing the non-volatile storage medium to perform the power determination method of the energy storage system according to any one of claims 1 to 7.

10. A computer device, characterized in that, include: Memory and processor The memory stores computer programs; The processor is configured to execute a computer program stored in the memory, wherein when the computer program is executed, the processor performs the power determination method of the energy storage system according to any one of claims 1 to 7.

11. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the power determination method of the energy storage system according to any one of claims 1 to 7.

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